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Clustering Approach for Defining Hurricane Evacuation Zones
AbstractIn the aftermath of recent hurricanes, many people either died or were stranded in the affected areas due to lack of time for evacuation caused by traffic congestion on evacuation routes. The main sources of traffic congestion are the unnecessary evacuation of the areas located outside evacuation zones as well as early evacuation of the less dangerous areas. In this paper, a set of evacuation zones is defined to prioritize the evacuation based on the danger level in the impact areas during a hurricane landfall. A clustering analysis approach is used to formulate this problem and is solved using dynamic programming. The proposed approach is examined on a case study in Harrison County, Mississippi, to prove its applicability.
Clustering Approach for Defining Hurricane Evacuation Zones
AbstractIn the aftermath of recent hurricanes, many people either died or were stranded in the affected areas due to lack of time for evacuation caused by traffic congestion on evacuation routes. The main sources of traffic congestion are the unnecessary evacuation of the areas located outside evacuation zones as well as early evacuation of the less dangerous areas. In this paper, a set of evacuation zones is defined to prioritize the evacuation based on the danger level in the impact areas during a hurricane landfall. A clustering analysis approach is used to formulate this problem and is solved using dynamic programming. The proposed approach is examined on a case study in Harrison County, Mississippi, to prove its applicability.
Clustering Approach for Defining Hurricane Evacuation Zones
Zangeneh, Shabnam (author) / Lim, Gino J / Kim, Seon Jin
2016
Article (Journal)
English
Clustering Approach for Defining Hurricane Evacuation Zones
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